Emma – The Sleep Company
Emma – The Sleep Company
Emma – The Sleep Company izstrādā miega un labsajūtas produktus, apvienojot pētniecību, tehnoloģijas un e-komerciju. Uzņēmums, kas dibināts 2013. gadā, palīdz cilvēkiem uzlabot miegu un ir pazīstams ar zinātniski izstrādātiem matračiem. Emma turpina meklēt jaunas pieejas, tostarp mākslīgā intelekta risinājumus miegam un atpūtu veicinošus audio risinājumus. Ar starptautisku darbinieku kopienu, augošu mazumtirdzniecības klātbūtni un darbu veselības aprūpes, labsajūtas un patēriņa preču jomā Emma piedāvā karjeras iespējas dažādu profesiju pārstāvjiem.

Finance Data Analyst

Build finance analytics at Emma, using SQL, Python, and dbt to create financial models, dashboards, and reporting tools. Collaborate with Finance, Engineering, and business teams in a hybrid role based in Germany.

Apraksts

  • Turn open-ended questions from Finance, Engineering, and business stakeholders into clear analytical outputs.
  • Analyze financial data, derive insights, and build intuitive dashboards.
  • Write production-quality SQL and Python for analytics workflows and reusable tools.
  • Build, document, and maintain scalable dbt models in Paradime for finance and cross-functional reporting.
  • Automate data collection, cleaning, transformation, and deployment.
  • Support data quality, testing, documentation, and engineering standards across the analytics stack.
  • Coach junior colleagues in SQL, data modeling practices, and analytical rigor.
  • Work with Data Engineers, Analysts, and Scientists.

Prasības

  • Bachelor’s, master’s, or doctoral degree in Economics, Computer Science, Data Science, Mathematics, Business Informatics, or a related quantitative field.
  • At least three years of analytics or analytics engineering experience, preferably in Finance, Fintech, or a commercial setting.
  • Strong SQL and Python programming skills.
  • Familiarity with Git or other version control.
  • Experience with a major BI or visualization tool such as Tableau, Power BI, or an equivalent.
  • Practical dbt experience and a solid grounding in data warehousing and ETL practices.
  • Strong quantitative and analytical reasoning.
  • Clear written and spoken communication, including the ability to explain technical concepts to nontechnical stakeholders.
  • Collaborative, team-oriented approach.

Priekšrocības

  • Discounts on Emma products.
  • Work with multinational teams.
  • Company events designed to create memorable experiences.
  • Tools and opportunities to grow and take ownership from the start.
  • Pet-friendly workplace where employees can bring their pets.

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